The exit status of the task that caused the workflow execution to fail was: null.
The full error message was:
The following samples had too few reads (<1) after quality filtering with DADA2: ERS1268086 Please check whether the correct primer sequences for trimming were supplied. Ignore that samples using `--ignore_failed_filtering` or adjust the threshold with `--min_read_counts`.
nextflow run nf-core/ampliseq -with-trace -r 2.9.0 -c /data/MicrobiomeDB/common/amplicon_sequencing/ampliseq.config -params-file /data/MicrobiomeDB/common/amplicon_sequencing/EMP_1064_Bee_Microbiome/nf-params.json --input /data/MicrobiomeDB/common/amplicon_sequencing/EMP_1064_Bee_Microbiome/samplesheet.csv --outdir /data/MicrobiomeDB/common/amplicon_sequencing/EMP_1064_Bee_Microbiome/out -profile dockerce811bec9b8515f0222c9621a8825bdec45440a8-e8d6-49a3-ad7a-c96320772411https://github.com/nf-core/ampliseq, revision 2.9.0 (commit hash 717abb8a0372c1821f5837ab3a902be90faf4cba)These plots give an overview of the distribution of resource usage for each process.
This table shows information about each task in the workflow. Use the search box on the right to filter rows for specific values. Clicking headers will sort the table by that value and scrolling side to side will reveal more columns.